Ampstek
Technical Data Business Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Data Business Analyst with a contract length of "unknown" and a pay rate of "unknown," located in "unknown." Key skills include SQL, Python, data analysis, and experience in trading or financial data.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 1, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Azure #Data Governance #Data Profiling #Data Migration #Datasets #Snowflake #"ETL (Extract #Transform #Load)" #Scripting #BI (Business Intelligence) #DevOps #Agile #Data Catalog #Data Analysis #Azure DevOps #Business Analysis #Migration #UAT (User Acceptance Testing) #Regression #Data Management #Databricks #Data Engineering #Data Pipeline #Data Visualisation #Cloud #Data Quality #Python #Microsoft Power BI #Jira #Databases #Metadata #SQL (Structured Query Language) #Tableau
Role description
About the Role
We are seeking a hands-on Technical Data Business Analyst to join our Digital Trading Analytics (dTA) team.
This role will support key data-centric initiatives across trading, market data, and analytics platforms within a global Oil & Gas organisation.
You will collaborate with data engineers, analytics teams, and business stakeholders to design, test, and deliver high-quality data solutions. The ideal candidate will have a solid foundation in data analysis, reconciliation, testing, and stakeholder management.
Key Responsibilities
Define and document business and data requirements for analytics and reporting use cases.
Perform data profiling, gap analysis, and data quality validation.
Lead and support data migration activities, including mapping, validation, and reconciliation of large datasets.
Work closely with engineering teams to test and validate data pipelines and transformations.
Develop and execute test plans for data products (functional, regression, and UAT).
Work with market data feeds and reference data to support trading analytics solutions.
Translate business needs into data models, reporting logic, and dashboards.
Engage with stakeholders from trading, analytics, and IT teams to ensure successful delivery.
Participate in Agile ceremonies (sprint planning, backlog grooming, story refinement).
Required Skills & Experience
5+ years’ experience as a Data Analyst or Technical Business Analyst.
Strong experience in data analysis, reconciliation, and data testing.
Proficiency in SQL and at least one scripting language (Python preferred).
Solid understanding of relational databases and data warehousing concepts.
Experience with market data, trading data, or financial reference data.
Exposure to data visualisation tools such as Power BI or Tableau.
Knowledge of Agile delivery practices using tools like JIRA or Azure DevOps.
Excellent communication and stakeholder management skills.
Nice to Have
Experience in energy or financial trading environments.
Familiarity with Databricks, Snowflake, or other cloud data platforms.
Understanding of data governance, lineage, and metadata management.
Exposure to data cataloguing tools or data quality frameworks.
About the Role
We are seeking a hands-on Technical Data Business Analyst to join our Digital Trading Analytics (dTA) team.
This role will support key data-centric initiatives across trading, market data, and analytics platforms within a global Oil & Gas organisation.
You will collaborate with data engineers, analytics teams, and business stakeholders to design, test, and deliver high-quality data solutions. The ideal candidate will have a solid foundation in data analysis, reconciliation, testing, and stakeholder management.
Key Responsibilities
Define and document business and data requirements for analytics and reporting use cases.
Perform data profiling, gap analysis, and data quality validation.
Lead and support data migration activities, including mapping, validation, and reconciliation of large datasets.
Work closely with engineering teams to test and validate data pipelines and transformations.
Develop and execute test plans for data products (functional, regression, and UAT).
Work with market data feeds and reference data to support trading analytics solutions.
Translate business needs into data models, reporting logic, and dashboards.
Engage with stakeholders from trading, analytics, and IT teams to ensure successful delivery.
Participate in Agile ceremonies (sprint planning, backlog grooming, story refinement).
Required Skills & Experience
5+ years’ experience as a Data Analyst or Technical Business Analyst.
Strong experience in data analysis, reconciliation, and data testing.
Proficiency in SQL and at least one scripting language (Python preferred).
Solid understanding of relational databases and data warehousing concepts.
Experience with market data, trading data, or financial reference data.
Exposure to data visualisation tools such as Power BI or Tableau.
Knowledge of Agile delivery practices using tools like JIRA or Azure DevOps.
Excellent communication and stakeholder management skills.
Nice to Have
Experience in energy or financial trading environments.
Familiarity with Databricks, Snowflake, or other cloud data platforms.
Understanding of data governance, lineage, and metadata management.
Exposure to data cataloguing tools or data quality frameworks.
